Visual representations and reasoning play an important role in human problem solving, modeling, and design. Although the ability to think like a human long has been a goal of AI, today’s AI agents nonetheless are limited in their visual reasoning. Advances in this area may (1) enable more extensive autonomous reasoning in visual domains, (2) foster deeper computational support for and understanding of human problem solving, modeling, and design, and (3) promote more intense use of visual representations in human-machine interaction. These technological goals raise basic theoretical issues such as the precise role of visual reasoning in intelligence and the relationship between visual reasoning and perceptual processes. Drawing participants from diverse research communities such as AI, HCI, cognitive science, learning science and design science, this interdisciplinary workshop aims to describe and discuss the latest scientific research that may inform and influence progress towards these goals.